Introduction Africa RISING is testing alternative technology options with heterogeneous populations of farmers that will likely respond to the technologies differently. The identification of different farmers' types within the program is therefore crucial to achieve the following goals:
Identify suitable farms to target innovations (ex-ante): we assume that not all innovations are appropriate for all farms, and that structuring into groups would support the identification of technology-specific suitable farming systems.
Scale out innovations: on the basis of the heterogeneity in a population we can formulate extension messages, policies and other incentive schemes to further spread the use of designed innovations.
Assess agro-economic effects(ex-post) Explaining trends and farmer ‘behavior’ (functional characteristics, including sustainable intensification indicators) and verification of the agro-economic effects of the interventions for different farm types.
IFPRI produced five typology reports, one for each AR country, that use the harmonized ARBES data (Africa RISING Baseline Evaluation Surveys) to produce statistical typologies of the farmers in each project area. Each report describes the methodology used to derive the groups as well as the main characteristic of each of the obtained types. These results await further validation and testing from the research teams.
Africa RISING typologies
Here we want to provide an overview of the different typologies used:
Farm typologies in Africa RISING
Introduction
Africa RISING is testing alternative technology options with heterogeneous populations of farmers that will likely respond to the technologies differently. The identification of different farmers' types within the program is therefore crucial to achieve the following goals:
Identify suitable farms to target innovations (ex-ante): we assume that not all innovations are appropriate for all farms, and that structuring into groups would support the identification of technology-specific suitable farming systems.
Scale out innovations: on the basis of the heterogeneity in a population we can formulate extension messages, policies and other incentive schemes to further spread the use of designed innovations.
Assess agro-economic effects (ex-post) Explaining trends and farmer ‘behavior’ (functional characteristics, including sustainable intensification indicators) and verification of the agro-economic effects of the interventions for different farm types.
IFPRI produced five typology reports, one for each AR country, that use the harmonized ARBES data (Africa RISING Baseline Evaluation Surveys) to produce statistical typologies of the farmers in each project area. Each report describes the methodology used to derive the groups as well as the main characteristic of each of the obtained types. These results await further validation and testing from the research teams.
Africa RISING typologies
Here we want to provide an overview of the different typologies used:Links to relevant materials
https://cgspace.cgiar.org/handle/10568/67875
https://cgspace.cgiar.org/handle/10568/67869
Overview of farm/household datasets and typologies in Africa RISING
Methods, protocols, procedures
Protocol for statistical typology construction (CRP Humidtropics): http://humidtropics.cgiar.org/openaccess/?did=231
Available datasets
Typologies
Agenda of typologies meeting
Responsibilities and timeline
Draft Concept Note for typologies in Africa RISING (courtesy of Jeroen Groot)